| Literature DB >> 32389882 |
Abstract
Acute and chronic respiratory illnesses cause widespread morbidity and mortality, and this class of illness now includes the novel coronavirus severe acute respiratory syndrome that is causing coronavirus disease-2019 (COVID-19). The world is experiencing a major demographic shift toward an older, obese, and physically inactive populace. Risk factor assessments based on pandemic data indicate that those at higher risk for severe illness from COVID-19 include older males, and people of all ages with obesity and related comorbidities such as hypertension and type 2 diabetes. Aging in and of itself leads to negative changes in innate and adaptive immunity, a process termed immunosenescence. Obesity causes systemic inflammation and adversely impacts immune function and host defense in a way that patterns immunosenescence. Two primary prevention strategies to reduce the risk for COVID-19 at both the community and individual levels include mitigation activities and the adoption of lifestyle practices consistent with good immune health. Animal and human studies support the idea that, in contrast to high exercise workloads, regular moderate-intensity physical activity improves immunosurveillance against pathogens and reduces morbidity and mortality from viral infection and respiratory illnesses including the common cold, pneumonia, and influenza. The odds are high that infectious disease pandemics spawned by novel pathogens will continue to inflict morbidity and mortality as the world's population becomes older and more obese. COVID-19 is indeed a wake-up call, a tocsin, to the world that primary prevention countermeasures focused on health behaviors and hygiene demand our full attention and support.Entities:
Keywords: COVID-19; Exercise; Immunology; Infection; Obesity
Mesh:
Year: 2020 PMID: 32389882 PMCID: PMC7205734 DOI: 10.1016/j.jshs.2020.05.001
Source DB: PubMed Journal: J Sport Health Sci ISSN: 2213-2961 Impact factor: 7.179
Fig. 1Percentage of coronavirus disease-2019–associated hospitalizations, by age and comorbidity, in the United States (14 states) during March 2020. COPD = chronic obstructive pulmonary disease.
Fig. 2Rates for age groups for coronavirus disease-2019–associated hospitalizations in the United States (14 states) during March 2020.
Fig. 3Baseline comorbidities and demographics for 5700 coronavirus disease-2019 patients (median age, 63 years) admitted to 12 hospitals in the New York City area, USA, during March 1 to April 4, 2020.
Fig. 4Linkage between physical inactivity, aging, and obesity and the metabolic syndrome with immune dysfunction and diminished viral defense.
Fig. 5The exercise workload benefit-risk continuum with viral defense.
Epidemiologic research on the relationship between physical activity, influenza, and pneumonia.
| Investigators, year published | Study population | Research design | Key findings |
|---|---|---|---|
| Baik et al., 2000105 | 26,429 men (40–79 years old), 78,062 women (27–44 years old) | 290 new pneumonia cases in men (6-year follow-up), 305 in women (2-year follow-up), questionnaire responses entered into a Cox proportional hazards model | 34% reduction in risk for developing pneumonia for women, but not men, in the highest |
| Inoue et al., 2007106 | 110,792 adults (40–79 years old) | 1,112,747 person-years, 1246 pneumonia deaths, health screenings, questionnaire responses entered into a Cox proportional hazards model | Walking regularly for 0.5–1.0 h/day and more than 1.0 h/day decreased risk for pneumonia mortality by 20%–30% compared with 0.5 h/day |
| Wong et al., 2008107 | 24,656 adults (≥30 years old) who died in 1998 in Hong Kong, China | Families interviewed for lifestyle habits of deceased, sera influenza virus detection entered into multinomial logistic regression analysis | Excess risk of influenza-associated mortality reduced for low/moderate physical activity but not frequent physical activity |
| Neuman et al., 2010108 | 83,165 women (27–44 years old) | 965,168 person-years, 1265 new cases of pneumonia, questionnaire responses entered into a Cox proportional hazards model | 28% reduction in risk for developing pneumonia for women in the highest |
| Williams, 2014109 | 109,352 runners, 40,798 walkers; age (mean ± SD), male runners (40.4 ± 10.9, walkers (61.2 ± 13.1); female runners (38.2 ± 10.1, walkers (50.4 ± 10.9) | 11.4-year average follow-up for running and walking history, lifestyle habits entered into a Cox proportional hazards model | Risk for respiratory disease mortality decreased 7.9% and for pneumonia 13.1% per metabolic equivalent of task hours per day run or walked |
| Wong et al., 2014110 | 66,820 elderly adults (≥56 years old) | 12-year follow-up, lifestyle habits entered into a time-dependent Cox proportional hazards model | Excess risk of influenza mortality was lower for frequent exercisers |
| Wu et al., 2016111 | 13,003 adults (≥18 years old) | Self-reported influenza-like illness and demographic data entered into a multivariate logistic regression model | Regular physical activity associated with a 20% reduction in likelihood of reporting influenza-like illness |
| Ukawa et al., 2019112 | 22,280 elderly adults (65–79 years old) | 1203 pneumonia deaths, 11.9-year follow-up, health screenings, questionnaire responses entered into an inverse probability weighting Cox proportional hazards model | 10%–35% reduction in risk for pneumonia mortality among elderly with or without underlying cardiovascular disease who walked regularly for ≥1.0 h/day compared with 0.5 h/day |
| Hamer et al., 2019113 | 97,844 adults (47.1 ± 17.7 years old) | 9027 deaths from infectious disease, 9.4-year follow-up, questionnaire responses entered into a Cox proportional hazards regression model | 40% reduced risk for infectious disease mortality with physical activity compared with physical inactivity |
| Charland et al., 2013114 | Data records used from 274 counties with total population of 116,146,020. A total of 3,076,699 hospitalizations for influenza-like illness (all ages) | Data used to regress log-transformed age-sex influenza-related hospitalization rates with lifestyle factors after adjustment for covariates | A 5% increase in the prevalence of physical inactivity was associated with an 11% and 19% increase in influenza-related hospitalization rates for adults and children, respectively, after adjustment for potential confounders |